CRACK DETECTOR – THE CRACK DETECTION IN THE SNOTTY BUILDING BASED ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING SMART SOLUTION TO STRUCTURAL COLLAPSE

Abstract

Crack Detector – The Crack Detection In The Snotty Building Based Artificial Intelligence And Image Processing Smart Solution To Structural Collapse is a device designed by the building's design team by implementing artificial intelligence science and image processing to detect the cracks and dimensions autonomous. Data obtained was sent to the user's computer in real time. The purpose of the construction of the device is to facilitate communities especially construction and construction safety committees (KKK) the building's security system hopes to detect cracks in high rise and can provide data on the level of damage, data obtained from a crack detector among other images and videos from the state of the building, the dimensions of cracks and the positions of cracks. Based on these data can be determined an ordinance of the building structure. Toolmaking begins with observing a multistory building on the campus and a literature study of both national and international journals and books. Next is the tool design using  Solidworks 2020. Once the design is finished it continues to the stage of procuring the components needed to make the prototype. The building of the prototype is divided into three stages of assembly of the frame, assembly of the electronic components and program building. Once completed, the tool was tested for performance knowing.